Triple

T8658414
Position Surface form Disambiguated ID Type / Status
Subject ریاست‌جمهوری ایران E205481 entity
Predicate مرتبط با P37 FINISHED
Object معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری
معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری نهادی دولتی در ایران است که سیاست‌گذاری، حمایت و توسعه زیست‌بوم نوآوری، فناوری‌های پیشرفته و شرکت‌های دانش‌بنیان را در سطح ملی بر عهده دارد.
 E748832 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری | Statement: [ریاست‌جمهوری ایران, مرتبط با, معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری
Context triple: [ریاست‌جمهوری ایران, مرتبط با, معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری]
  • A. Ministry of Science, Research and Technology of Iran
    The Ministry of Science, Research and Technology of Iran is the government body responsible for overseeing higher education, scientific research, and technological development across Iranian universities and research institutions.
  • B. President of the National Council for Science and Technology
    The President of the National Council for Science and Technology was a top-level Romanian state position overseeing national science and technology policy and institutions during the communist era.
  • C. Israeli Minister of Science and Technology
    Yuval Ne'eman was an Israeli physicist, military officer, and politician known for his pioneering work in particle physics and for helping to establish Israel's space and scientific research programs.
  • D. Directorate General of Higher Education, Research, and Technology
    The Directorate General of Higher Education, Research, and Technology is an Indonesian government body responsible for formulating and implementing national policies in universities, research, and technological development.
  • E. Economic and Scientific Section
    The Economic and Scientific Section was a key division within the Allied occupation administration in Japan that oversaw economic policy, industrial reform, and scientific and technological matters during the post–World War II reconstruction period.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری
Triple: [ریاست‌جمهوری ایران, مرتبط با, معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری]
Generated description
معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری نهادی دولتی در ایران است که سیاست‌گذاری، حمایت و توسعه زیست‌بوم نوآوری، فناوری‌های پیشرفته و شرکت‌های دانش‌بنیان را در سطح ملی بر عهده دارد.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری
Target entity description: معاونت علمی، فناوری و اقتصاد دانش‌بنیان ریاست‌جمهوری نهادی دولتی در ایران است که سیاست‌گذاری، حمایت و توسعه زیست‌بوم نوآوری، فناوری‌های پیشرفته و شرکت‌های دانش‌بنیان را در سطح ملی بر عهده دارد.
  • A. Ministry of Science, Research and Technology of Iran
    The Ministry of Science, Research and Technology of Iran is the government body responsible for overseeing higher education, scientific research, and technological development across Iranian universities and research institutions.
  • B. President of the National Council for Science and Technology
    The President of the National Council for Science and Technology was a top-level Romanian state position overseeing national science and technology policy and institutions during the communist era.
  • C. Israeli Minister of Science and Technology
    Yuval Ne'eman was an Israeli physicist, military officer, and politician known for his pioneering work in particle physics and for helping to establish Israel's space and scientific research programs.
  • D. Directorate General of Higher Education, Research, and Technology
    The Directorate General of Higher Education, Research, and Technology is an Indonesian government body responsible for formulating and implementing national policies in universities, research, and technological development.
  • E. Economic and Scientific Section
    The Economic and Scientific Section was a key division within the Allied occupation administration in Japan that oversaw economic policy, industrial reform, and scientific and technological matters during the post–World War II reconstruction period.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c2d852081908901f5d2a47035b0 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccf559c4819089dfb8d6b11de1df completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8d530081908f5a52d5d76bd414 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf7c66308190b9fb87bc0ab510a8 completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:30 p.m.